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    陈秋华, 庄燕, 蒋华, 张海东, 戴林峰. 基于网络药理学和分子对接技术的血必净注射液治疗脓毒症的机制研究[J]. 徐州医科大学学报, 2024, 44(6): 415-421. DOI: 10.3969/j.issn.2096-3882.2024.06.005
    引用本文: 陈秋华, 庄燕, 蒋华, 张海东, 戴林峰. 基于网络药理学和分子对接技术的血必净注射液治疗脓毒症的机制研究[J]. 徐州医科大学学报, 2024, 44(6): 415-421. DOI: 10.3969/j.issn.2096-3882.2024.06.005
    CHEN Qiuhua, ZHUANG Yan, JIANG Hua, ZHANG Haidong, DAI Linfeng. Mechanism of Xuebijing Injection in the treatment of sepsis based on network pharmacology and molecular docking[J]. Journal of Xuzhou Medical University, 2024, 44(6): 415-421. DOI: 10.3969/j.issn.2096-3882.2024.06.005
    Citation: CHEN Qiuhua, ZHUANG Yan, JIANG Hua, ZHANG Haidong, DAI Linfeng. Mechanism of Xuebijing Injection in the treatment of sepsis based on network pharmacology and molecular docking[J]. Journal of Xuzhou Medical University, 2024, 44(6): 415-421. DOI: 10.3969/j.issn.2096-3882.2024.06.005

    基于网络药理学和分子对接技术的血必净注射液治疗脓毒症的机制研究

    Mechanism of Xuebijing Injection in the treatment of sepsis based on network pharmacology and molecular docking

    • 摘要: 目的 基于网络药理学和分子对接技术,探讨血必净注射液治疗脓毒症的潜在作用机制。方法 利用Swiss Target Prediction和TCMSP数据库预测血必净注射液的药物成分和作用靶点,筛选核心成分;利用STITCH、DisGeNET和Genecards数据库预测脓毒症作用靶点,使用Venny 2.1.0工具将药物与疾病靶点映射得到二者交集靶点,进而构建蛋白质-蛋白质相互作用(PPI)网络,筛选出核心作用靶点;利用DAVID数据库进行KEGG和GO富集分析获取相关通路,依据条目的P值筛选出相关性较高的信号通路;依托Chem 3D、AutoDock、Pymol等软件对核心成分和关键靶点进行分子对接,在分子层面进一步阐明血必净注射液治疗脓毒症的具体机制。结果 筛选并获得113个血必净注射液治疗脓毒症的潜在作用靶点。PPI网络分析依据degree值筛选出排名前5的核心靶点,分别是白细胞介素(IL)-1β、IL-6、蛋白激酶B(AKT)1型、肿瘤抑制蛋白(TP53)、血管内皮生长因子A(VEGFA)。GO和KEGG富集分析显示血必净注射液在脓毒症治疗中涉及多条信号通路,主要包括IL-17、肿瘤坏死因子(TNF)、缺氧诱导因子(HIF)-1信号通路及Th17细胞的分化等,其中IL-17信号通路高度富集。通过分子对接,发现血必净注射液中排名前3的核心成分槲皮素、山奈酚、木樨草素与IL-1β、IL-6和TP53的对接结合能均小于-5 kcal/mol,说明槲皮素、山奈酚和木樨草素能够较好地与核心靶点结合,具有较好的结合能力。结论 血必净注射液具有“多成分、多靶点、多途径”的功效。槲皮素、山奈酚和木樨草素可能是血必净注射液的主要活性成分, IL-1β、IL-6和TP53蛋白可能是血必净注射液治疗脓毒症的潜在治疗靶点。血必净注射液可能通过IL-17、TNF、HIF-1信号通路和Th17细胞的分化等途径发挥治疗作用。

       

      Abstract: Objective To explore the potential mechanism of Xuebijing Injection in the treatment of sepsis, based on network pharmacology and molecular docking. Methods The Swiss Target Prediction and TCMSP databases were used to predict the drug ingredients and targets of Xuebijing Injection, and screen the core components. The STITCH, DisGeNET and Genecards databases were used to predict the targets of sepsis. The Venny 2.1.0 tool was used to create a Venn diagram for the intersection of common targets of Xuebijing Injection treatment and sepsis, and a protein-protein interaction (PPI) network was established to screen out the core targets. The DAVID database was utilized to obtain the related pathways by KEGG and GO enrichment analyses, and the signaling pathways with high relevance based on the P value of the entries were screencd out. Then, the core components and core targets were used for molecular docking by Chem 3D, AutoDock, and Pymol software, in order to further explain the mechanism of Xuebijing Injection in the treatment of sepsis at the molecular level. Results A total of 113 potential targets of Xuebijing Injection for sepsis were screened and obtained. According to PPI network analysis,the top five core targets based on the degree value were interleukin (IL)-1β, IL-6, protein kinase B (AKT)1, tumor protein P53 (TP53), and vascular endothelial growth factor A (VEGFA). GO and KEGG enrichment analyses showed that Xuebijing Injection involved multiple signaling pathways in sepsis treatment, which mainly included IL-17, tumor necrosis factor (TNF), hypoxia inducible factor (HIF)-1 signaling pathways and Th17 cell differentiation, among which the IL-17 signaling pathway was highly enriched. Finally, through molecular docking, we found that the docking binding energies of quercetin, kaempferol, and mignonin (the top three core components of Xuebijing Injection) with IL-1β, IL-6, and TP53 were all less than -5 kcal/mol, which indicated that quercetin, kaempferol, and mignonin were able to bind better with the core targets, with better binding ability. Conclusions Xuebijing Injection is characterized by "multi-component, multi-target, and multi-pathway". Quercetin, kaempferol and lignans may be the main active ingredients of Xuebijing Injection. IL-1β, IL-6 and TP53 proteins may be the potential therapeutic targets of Xuebijing Injection in the treatment of sepsis. Xuebijing Injection may play a therapeutic role through the IL-17, TNF and HIF-1 signaling pathways and Th17 cell differentiation.

       

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